1. Transitioning from and Beyond MARC Karen Smith-Yoshimura 2010 RLG Partnership Annual Meeting Chicago, IL 10 June 2010

2. Transitioning from and Beyond MARC2 Where we are Where we want to go How do we get there?

3. Transitioning from and Beyond MARC3 Now: Managing MARC and non-MARC metadata RLG Partners use same staff to create both MARC and non-MARC metadata? Yes 64 66% No 33 34% RLG Partners create non-MARC metadata as part of routine workflows? Yes 86 80% No 22 20% What We’ve Learned from the RLG Partners Metadata Creation Workflows Survey, 2009

4. Transitioning from and Beyond MARC4 Metadata Description Tools RLG Programs Descriptive Metadata Practices Survey Results: Data Supplement 2007

5. Transitioning from and Beyond MARC5 What We’ve Learned from the RLG Partners Metadata Creation Workflows Survey, 2009

6. Transitioning from and Beyond MARC6 RLG Programs Descriptive Metadata Practices Survey Results: Data Supplement 2007

7. Transitioning from and Beyond MARC7 What We’ve Learned from the RLG Partners Metadata Creation Workflows Survey, 2009

8. Moving between old and new paradigms Subject Publisher Identifier Contributor Physical description AACR2 encoding ISBD punctuation Non-MARC elementsMARC record

9. Transitioning from and Beyond MARC9 Example: Physical descriptions in ONIX and MARC Leader jm 007 sdfsngnnmmned 245 $a #1 Puccini album AC 01 #1 Puccini Album $h [sound recording] Over-specified relationship Redundant information Maps between coded & textual information unreliable Carol Jean Godby, “Mapping Bibliographic Metadata”, NETSL Annual Spring Conference, 2010-04-15

10. Transitioning from and Beyond MARC10 Some problems with crosswalking MARC Extra effort is required to add, validate, and dismantle ISBD and AACR2 rules. The ISBD and AACR2 layers are not a worldwide standard. Vocabulary and semantic concepts are different. Differences in punctuation and formatting require crosswalks to peek at the data. As a result:  The mappings are brittle.  Duplicate detection is difficult. Carol Jean Godby, “Mapping Bibliographic Metadata”, NETSL Annual Spring Conference, 2010-04-15

11. 65% 15% 9% 6% 39 tags (of 199 total) 5% or more occurrences 100%001, 008, 040, 245 20% - 99%020, 100, 260, 300, 500, 650, 700 10% - 19%007, 010, 016, 043, 050, 082, 250, 440, 490, 504, 710 5% - 9%015, 024, 041, 084, 110, 246, 502, 505, 520, 533, 600, 610, 651, 653, 830, 856, 880 4% 2%

12. Transitioning from and Beyond MARC12 Some MARC fields are more heavily used in specific formats than WorldCat as a whole… Mixed Materials: Greatest Variances Mixed % WorldCat % 520 Summary, Etc.68.185.95 655 Index term - genre/form52.794.27 545 Biographical or historical data33.870.38 555 Cumulative index/finding aids note28.560.30 541 Immediate source of acquisition note19.250.49 351 Organization and arrangement of material14.820.14 524 Preferred citation of described materials note14.130.15 583 Action note13.130.26 580 Linking entry complexity note10.910.82 561 Ownership and custodial history10.170.37 Implications of MARC Tag Usage on Library Metadata Practices Webinar 2010-03

13. Transitioning from and Beyond MARC13 OCLC no. Leader/06ppp Leader/07ccc 001 005 008/00-05 008/06iii 008/07-10180018351889 008/11-14186519131920 008/15-17xxucau 008/23 MXr 008/35-37eng ger 008/39ddd 040a b 043aa 100a da 245a b fa f 300a c3 a ba 500 a 506 a 520aaa b 530 a 5333 a 535 a 545 a 555 a 600 a d v 610 a 650a x va z va z v y 651a x v 655 a 2 700a d Mixed material (3 records) Searching in All databases Searching in 4 databases Searching in 3 databases Searching in 2 databases Searching in 1 database Searching in no databases Limiting in any database Colour Key Catherine Argus (NLA) comparison of MARC fields indexed in Amicus, COPAC, Libraries Australia, WC.org and FirstSearch Implications of MARC Tag Usage on Library Metadata Practices Webinar 2010-03

14. Transitioning from and Beyond MARC14 Some implications MARC data cannot continue to exist in its own discrete environment. It will need to be leveraged and used in other domains to reach users in their own networked environments. MARC is a niche data communication format approaching the end of its life cycle. Future systems need to take advantage of linked data to meet users’ needs. MARC is not the solution. Future encoding schemas will need to have a robust MARC crosswalk to ingest millions of legacy records. Implications of MARC Tag Usage on Library Metadata Practices, 2010

15. Transitioning from and Beyond MARC15 We’re already repurposing the metadata we have

16. Transitioning from and Beyond MARC16 OCLC’s xISSN Web Service xissn.worldcat.org/

17. Transitioning from and Beyond MARC17 OCLC Web Services’ Application Gallery oclc.org/applicationgallery/

18. Transitioning from and Beyond MARC18

19. Transitioning from and Beyond MARC19

20. Transitioning from and Beyond MARC20

21. Transitioning from and Beyond MARC21

22. Transitioning from and Beyond MARC22

23. Transitioning from and Beyond MARC23

24. Transitioning from and Beyond MARC24

25. Transitioning from and Beyond MARC25 Where we want to go: The Semantic Web “I have a dream for the Web [in which computers] become capable of analyzing all the data on the Web – the content, links, and transactions between people and computers.” —Tim Berners-Lee

26. Transitioning from and Beyond MARC26 Where we are Creating MARC and non- MARC metadata, often redundantly. Limited reuse outside the library domain. Metadata created by libraries generally hidden or buried in Web results. Where we want to go Create metadata once, and reuse in different contexts. Expanded reuse of metadata from variety of sources for own context. Contribute own metadata to the Semantic Web for discovery and metadata creation.

27. Transitioning from and Beyond MARC27 How do we do it? Define data elements in an actionable way Define controlled lists in an actionable way Assign identifiers that will be unique on the web Create the data using these elements and lists Share the data Karen Coyle, “Directions in Metadata”, TechSource Webinar, 2010-04 Enable users/machines to combine selected data elements as they need them.

28. Transitioning from and Beyond MARC28 How we get there Move beyond “records” and converse with rest of the networked world. Aggregate “records” from statements when we need them. “Statement-based” data can be managed and improved more easily than record-based data Statement-based data can carry provenance for each statement. Diane Hillmann, “Application Profiles”, ALA ALCTS: CCDA 2010-01-18 Link data instead of copying it.

29. Transitioning from and Beyond MARC29 Linked data “… a method of exposing, sharing, and connecting data via dereferenceable URIs on the Web.” —Wikipedia Bridges the gap between our technologies and the rest of the world’s

30. Transitioning from and Beyond MARC30 Why linked data? Share data in a non-library-centered exchange format.  MARC not popular with the Web community  Dublin Core not semantically rich Provide a framework for sharing semantically rich data in a Web-friendly way. Participate in the Semantic Web.

31. Transitioning from and Beyond MARC31 Semantic Web Syntax: RDF Resource Description Framework: Markup syntax exposing semantic richness of MARC21 and structural richness of AACR2 For everything you want to talk about  Give it a URI (Universal Resource Identifier)  Provide useful information at that URI Talk about things  Not just descriptions of things  Use structure (e.g. metadata)  Link to other resources

32. Transitioning from and Beyond MARC32 Vocabularies available in RDF dewey.info

33. id.loc.gov/authorities

34. Transitioning from and Beyond MARC34 http://metadataregistry.org/rdabrowse.htmmetadataregistry.org

35. Transitioning from and Beyond MARC35 Virtual International Authority File (VIAF) http://viaf.org/viaf/95216565 Application/RDF as xml: http://viaf.org/viaf/95216565/rdf.xml

36. Taking off? National Library of Sweden VIAF LCSH R|D|A

37. RDA Linked Data Hamlet México, D.F. 2008 English Spanish French German Shakespeare Library of Congress Copy 1 Green leather binding Romeo and Juliet Stoppard Rosencrantz & Guildenstern Are Dead Text Movies … Derivative works Subject Barbara Tillett, “Building Blocks for the Future: Making Controlled Vocabularies Available for the Semantic Web”, NETSL, 2010-04-15

38. Switching Languages Hamlet México, D.F. 2008 Inglés Español Francés Alemán Shakespeare Library of Congress Copia 1 Encuadernación en piel color verde Romeo y Julieta Stoppard Rosencrantz & Guildenstern Are Dead Texto Películas … Obras derivadas Materias Barbara Tillett, “Building Blocks for the Future: Making Controlled Vocabularies Available for the Semantic Web”, NETSL, 2010-04-15

39. Transitioning from and Beyond MARC39 Prototype from Europeana’s “Thought Lab” of a semantic search engine eculture.cs.vu.nl/europeana/session/search

40. Transitioning from and Beyond MARC40 Europeana’s “Thought Lab” data cloud version1.europeana.eu/web/europeana-project/whitepapers

41. Transitioning from and Beyond MARC41 Discussion What ideas do you have for “next steps” to transition beyond MARC and have our metadata part of the semantic Web?

42. Transitioning from and Beyond MARC42 Next up 3:30 Collections Futures David Lewis, Indiana University-Purdue University Indianapolis Buckingham